Title :
The Study of Real-Time Detecting Algorithm on Eddy Current Nondestructive Testing
Author :
Liu, Dong-Hui ; Chen, Ai-zu ; Yang, Guo-fu
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
Immune radial basis function (IRBF) network is applied to real-time online detecting system. After completing the eddy current nondestructive quantitative detecting (ECNDT) using classical RBF method, authors put forward using immune algorithm to optimize the network structure, and using recursive least squares(RLS) algorithm to estimate weight vector. The comparison shows that the network structure is simplified strongly, computation is reduced greatly. This method can be applied online
Keywords :
eddy current testing; learning (artificial intelligence); least squares approximations; radial basis function networks; IRBF network; eddy current nondestructive testing; immune radial basis function; real-time detecting algorithm; recursive least squares; Computer networks; Cybernetics; Eddy currents; Electronic mail; Immune system; Machine learning; Nondestructive testing; Optimization methods; Pathogens; Radial basis function networks; Real time systems; Signal processing algorithms; ECNDT; IRBF network; RLS; immune algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259142
